Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Pedro Lopez-Garcia"'
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 34:355-385
This paper introduces a novel hybridisation technique combining the Backtracking Search (BS) and Differential Evolution (DE) algorithms. The proposed hybridisation executes diversity loss and stagn...
Autor:
Pedro Lopez-Garcia, Xabier Barrenetxea, Sonia García-Arrieta, Iñigo Sedano, Luis Palenzuela, Luis Usatorre
Publikováno v:
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Fundación Tecnalia Research & Innovation
The sustainable manufacturing of goods is one of the factors to minimize natural resource depletion and CO2 emissions. In the last decade a big effort has been done to transition from linear economy to circular economy. This transition requires to im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c6bc0296d02c108135586fe8a4b4b58
http://hdl.handle.net/11556/1340
http://hdl.handle.net/11556/1340
Publikováno v:
ICSTCC
Automated Vehicles (AVs) are complex, and they require solutions in different areas such as perception, communications, decision, and control. In urban environments, path planning for parking maneuvers is a relevant feature. There is a good amount of
Autor:
Pedro Lopez-Garcia, Xin-She Yang, Eneko Osaba, Iztok Fister, Javier Del Ser, Alejo J. Vazquez-Pardavila
Publikováno v:
Swarm and Evolutionary Computation. 44:273-286
The work presented in this paper is focused on the resolution of a real-world drugs distribution problem with pharmacological waste collection. With the aim of properly meeting all the real-world restrictions that comprise this complex problem, we ha
This Festschrift, dedicated to Manuel Hermenegildo on the occasion of his 60th birthday, contains papers written by many of his closest collaborators. Manuel received his Ph.D. degree in Computer Science and Engineering from the University of Texas a
Publikováno v:
Applied Intelligence
One of the most challenging issues when facing a classification problem is to deal with imbalanced datasets. Recently, ensemble classification techniques have proven to be very successful in addressing this problem. We present an ensemble classificat
Autor:
Asier Perallos, Asier Moreno, Pedro Lopez-Garcia, Enrique Onieva, Pablo García Bringas, Eneko Osaba
Publikováno v:
IET Intelligent Transport Systems. 10:674-682
This study is focused on a decentralised intelligent transportation systems with distributed intelligence based on classification techniques. The rationale behind this architecture is to offer a fully distributed, flexible and scalable system. The ar
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems
This paper presents a method of optimizing the elements of a hierarchy of fuzzy-rule-based systems (FRBSs). It is a hybridization of a genetic algorithm (GA) and the cross-entropy (CE) method, which is here called GACE. It is used to predict congesti
Ensemble and Fuzzy techniques applied to Imbalanced Traffic Congestion Datasets: a Comparative Study
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319916408
BIOMA
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Bioinspired Optimization Methods and Their Applications
Bioinspired Optimization Methods and Their Applications
BIOMA
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Bioinspired Optimization Methods and Their Applications
Bioinspired Optimization Methods and Their Applications
Class imbalance is among the most persistent complications which may confront the traditional supervised learning task in real-world applications. Among the different kind of classification problems that have been studied in the literature, the imbal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e00acb4411edd7febd800b5b668245d7
https://zenodo.org/record/1309275
https://zenodo.org/record/1309275
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319916408
BIOMA
BIOMA
This paper focuses on the design and implementation of a bike route optimization approach based on multi-objective bio-inspired heuristic solvers. The objective of this approach is to produce a set of Pareto-optimal bike routes that balance the trade
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14fa46199bbdaf1a2e21c17e243c881
https://doi.org/10.1007/978-3-319-91641-5_17
https://doi.org/10.1007/978-3-319-91641-5_17